# How to integrate Shipday MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Shipday MCP with OpenAI Agents SDK",
  "toolkit": "Shipday",
  "toolkit_slug": "shipday",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/shipday/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/shipday/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-03-29T06:50:05.119Z"
}
```

## Introduction

This guide walks you through connecting Shipday to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Shipday agent that can create a new delivery order for a customer, list all active delivery drivers on shift, update the delivery status to completed through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Shipday account through Composio's Shipday MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Shipday with

- [Claude Agent SDK](https://composio.dev/toolkits/shipday/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/shipday/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/shipday/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/shipday/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/shipday/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/shipday/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/shipday/framework/cli)
- [Google ADK](https://composio.dev/toolkits/shipday/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/shipday/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/shipday/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/shipday/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/shipday/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/shipday/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Shipday
- Configure an AI agent that can use Shipday as a tool
- Run a live chat session where you can ask the agent to perform Shipday operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Shipday MCP server, and what's possible with it?

The Shipday MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Shipday account. It provides structured and secure access so your agent can perform Shipday operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SHIPDAY_ADD_A_CARRIER` | Add a Carrier | Tool to add a new carrier/driver to the Shipday system with credentials. Use when you need to create a new carrier account with name, email, and phone number. |
| `SHIPDAY_CHECK_ON_DEMAND_AVAILABILITY` | Check On-Demand Delivery Availability | Tool to check on-demand delivery availability from third-party service providers. Use when you need to verify service availability, pricing estimates, and delivery times for a route without creating an order. |
| `SHIPDAY_EDIT_DELIVERY_ORDER` | Edit Delivery Order | Tool to edit an existing delivery order in Shipday. Use when you need to update order details such as customer information, restaurant details, order items, delivery fees, or tips. |
| `SHIPDAY_GET_ON_DEMAND_ESTIMATE` | Get On-Demand Delivery Estimate | Tool to get on-demand delivery estimates from third-party service providers for a specific order. Use when you need to retrieve pricing, pickup/delivery times, and durations for a delivery order. |
| `SHIPDAY_GET_ON_DEMAND_DELIVERY_SERVICES` | Get On-Demand Delivery Services | Tool to retrieve available third-party on-demand delivery service providers. Use when you need to check which delivery services are available or enabled for the account. |
| `SHIPDAY_INSERT_ORDER` | Insert Order | Tool to create a new delivery order in Shipday. Use when you need to insert a delivery order with customer details, restaurant information, order items, and delivery schedule. |
| `SHIPDAY_ORDER_READY_TO_PICKUP` | Order Ready to Pickup | Tool to mark a delivery order as ready for pickup. Use when you need to notify Shipday that an order is prepared and ready for driver pickup at a specific time. |
| `SHIPDAY_ORDERS_QUERY` | Orders Query | Tool to query delivery orders with filters and pagination. Use when you need to retrieve multiple orders within a specific time range or paginate through order results. ACTIVE orders are those which are neither ALREADY_DELIVERED nor FAILED_DELIVERY nor INCOMPLETE. |
| `SHIPDAY_QUERY_DELIVERY_ORDERS` | Query Delivery Orders | Tool to query delivery orders with time-based filters and cursor pagination. Use when you need to retrieve multiple orders within a specific time range or paginate through order results. |
| `SHIPDAY_RETRIEVE_ACTIVE_ORDERS` | Retrieve Active Orders | Tool to retrieve all active delivery orders from Shipday system. Use when you need to get currently active orders (excludes ALREADY_DELIVERED, FAILED_DELIVERY, and INCOMPLETE orders). Returns at most 100 orders at a time. |
| `SHIPDAY_RETRIEVE_CARRIERS` | Retrieve Carriers | Tool to retrieve all carriers/drivers with profile and status details. Use when you need to get a list of all carriers in the system. |
| `SHIPDAY_RETRIEVE_ORDER_DETAILS` | Retrieve Order Details | Tool to retrieve detailed information for a specific delivery order by order number. Use when you need to get comprehensive order details including customer info, restaurant info, carrier assignment, cost breakdown, order items, status, and tracking information. |
| `SHIPDAY_UNASSIGN_ORDER_FROM_DRIVER` | Unassign Order from Driver | Tool to remove driver assignment from a delivery order. Use when you need to unassign a driver from an order to make it available for reassignment to a different driver. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Shipday MCP server is an implementation of the Model Context Protocol that connects your AI agent to Shipday. It provides structured and secure access so your agent can perform Shipday operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Shipday project
- Some knowledge of Python or Typescript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Shipday.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only shipday.
- The router checks the user's Shipday connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Shipday.
- This approach keeps things lightweight and lets the agent request Shipday tools only when needed during the conversation.
```python
# Create a Shipday Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["shipday"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Shipday
const session = await composio.create(userId as string, {
  toolkits: ['shipday'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Shipday. "
        "Help users perform Shipday operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Shipday. Help users perform Shipday operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["shipday"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Shipday. "
        "Help users perform Shipday operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['shipday'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Shipday. Help users perform Shipday operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Shipday MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Shipday.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Shipday MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/shipday/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/shipday/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/shipday/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/shipday/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/shipday/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/shipday/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/shipday/framework/cli)
- [Google ADK](https://composio.dev/toolkits/shipday/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/shipday/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/shipday/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/shipday/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/shipday/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/shipday/framework/crew-ai)

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
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- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Addresszen](https://composio.dev/toolkits/addresszen) - Addresszen is a real-time address autocomplete and verification service. It helps capture accurate, deliverable addresses with instant suggestions and validation.
- [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.
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- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.
- [Asin data api](https://composio.dev/toolkits/asin_data_api) - Asin data api gives you detailed, real-time product data from Amazon, including price, rank, and reviews. Perfect for e-commerce pros and data-driven marketers who need instant marketplace insights.
- [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Baselinker](https://composio.dev/toolkits/baselinker) - BaseLinker is an all-in-one e-commerce management platform connecting stores, marketplaces, carriers, and more. It streamlines order processing, inventory control, and automates your sales operations.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Bestbuy](https://composio.dev/toolkits/bestbuy) - Best Buy is a leading retailer offering APIs for product, store, and recommendation data. Instantly access up-to-date retail insights for smarter shopping and decision-making.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Shipday MCP?

With a standalone Shipday MCP server, the agents and LLMs can only access a fixed set of Shipday tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Shipday and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Shipday tools.

### Can I manage the permissions and scopes for Shipday while using Tool Router?

Yes, absolutely. You can configure which Shipday scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Shipday data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)